easystats/performance: performance 0.14.0

Published May 22, 2025 | Version v0.14.0

Software Open

Breaking Changes

The "Increased SE" column in the output of check_collinearity() was renamed into "adj. VIF" (=adjusted VIF). Furthermore, the computation of the adjusted VIF now correctly accounts for the numbers of levels (i.e. degrees of freedom) for factors.

New function check_group_variation() to check within-/between-group variability (this function will replace check_heterogeneity_bias() in future releases.)
New functions performance_reliability() and performance_dvour(). These functions provide information about the reliability of group-level estimates (i.e., random effects) in mixed models.

Singularity checks with check_singularity() are now more efficient and also include the random effects for the dispersion component (from package glmmTMB). Furthermore, a check argument allows to check for general singularity (for the full model), or can return singularity checks for each random effects term separately.

Fixed issue with wrong computation of pseudo-R2 for some models where the base-model (null model) was updated using the original data, which could include missing values. Now the model frame is used, ensuring the correct number of observations in the returned base-model, thus calculating the correct log-likelihood and returning the correct pseudo-R2.
Fixed examples in check_outliers().

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easystats/performance-v0.14.0.zip md5:5e4db4e32b310e149a09c90677f89bfb	4.5 MB	Preview Download

Is supplement to: Software: https://github.com/easystats/performance/tree/v0.14.0 (URL)